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Detekce ischemie v EKG záznamech / Detection of ischemia in ECG

This paper describes the manifestations of ischemia in the ECG signals and summarizes some methods allowing automatic detection of ischemia. Morphological features were then calculated from ECG signals available from UBMI and statistically evaluated to select features appropriate for further automatic classification. Multilayer feedforward neural network was used for classification of heart beats. The neural network was designed in Matlab. Classification performance up to 99.9% was obtained on available dataset.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:220839
Date January 2014
CreatorsTichý, Pavel
ContributorsSmital, Lukáš, Ronzhina, Marina
PublisherVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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